Antenna selection using genetic algorithm for MIMO systems

被引:3
|
作者
Guo, Qianjing
Kim, Suk Chan
Park, Dong Chan
机构
[1] Pusan Natl Univ, Dept Elect Engn, Pusan 609735, South Korea
[2] Pusan Natl Univ, Res Inst Comp Informat & Commun, Pusan 609735, South Korea
关键词
antenna selection; genetic algorithm; MIMO system; channel capacity;
D O I
10.1093/ietfec/e89-a.6.1773
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Recent work has shown that the usage of multiple antennas at the transmitter and receiver in a flat fading environment results in a linear increase in channel capacity. But increasing the number of antennas induces the higher hardware costs and computational burden. To overcome those problems, it is effective to select antennas appropriately among all available ones. In this paper, a new antenna selection method is proposed. The transmit antennas are selected so as to maximize the channel capacity using the genetic algorithm (GA) which is the one of the general random search algorithm. The results show that the proposed GA achieves almost the same performance as the optimal selection method with less computational amount.
引用
收藏
页码:1773 / 1775
页数:3
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